New Data Collection and Processes for Sustainable Development

Dear Colleagues,

The scope of this Special Issue is the improvement of knowledge by promoting new Data Collection and Processes for the purposes of sustainable development. Sustainability is the widely accepted approach for the increased (and often conflicting) needs of urban and regional development. 
The satisfaction of these diverse needs requires interdisciplinary solutions that will borrow best practices and innovative methods from emerging scientific fields providing clear and reproducible solutions. The objective of this Special Issue is to encourage research from different disciplines showcasing theoretical contributions along with case studies or applications of proof-of-concept solutions towards to the direction of new data collection and processes related to the environmental, social, and economic outcomes and impacts of sustainable development.

We welcome submissions that address (but are not limited to) the following issues:

• Technology-enhanced tools and processes for sustainable development;
• infrastructure resilience for urban and regional development prone to natural disasters, climate change, and overpopulation;
• Methods on citizen-generated data (crowdsourcing–crowdsensing) and volunteered geographic information systems;
• Holistic approaches for smart city frameworks;
• Processes for managing cultural diversity as a function of sustainable development;
• Data-driven methods for sustainable well-being;
• Processes to monitor and assess progress towards sustainable development goals (SDG);
• Tools for incorporation and promotion of SDGs in national public policies, strategies, and action plans, at local as well as regional governance level (policies, actions, financing);
• Methods for the involvement of stakeholders in the process of implementing and reviewing SDGs (mandate and structure of multi-stakeholder mechanisms, cooperation with the center of government);
• Methodology for the development of SDGs-oriented national indicators that are not as yet part of the Official Statistics of National Systems;
• Ways of improving the methodology and data production and collection processes and tools in cooperation, where appropriate and necessary, with the custodian agencies of each selected indicator;
• Methodologies for building the projection model for the selected indicators for 2030 (scenario and impact analysis).

Assist. Prof. Dr. George Hloupis
Prof. Roido Mitoula
Assist. Prof. Dr. Aristidis Papagrigoriou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• sustainable development goals (SDG)
• urban and regional planning
• new technological tools and methods
• data collection